[this page | pdf]

Function Description

Returns the maximum likelihood estimation vector for a given dataset for parameters of a probability distribution given by DistributionName and with the order of parameter values matching the parameter names listed by MnProbDistParamNames) subject to the restriction that for those parameters with AllowParameterToVary = FALSE the estimator must be identical to its OpeningParameterChoice.


The algorithm used starts from values for each of the non-fixed parameters in line with its value in OpeningParameterChoices and searches for the (possibly just ‘nearest’) parameter selection that maximises the weighted (log) likelihood function.


Probability distributions currently recognised by the website may be listed using MnRecognisedProbDists.


Contents | Prev | Next

Links to:

-          Interactively run function

-          Interactive instructions

-          Example calculation

-          Output type / Parameter details

-          Illustrative spreadsheet

-          Other Probability distribution analysis functions

-          Computation units used

Note: If you use any Nematrian web service either programmatically or interactively then you will be deemed to have agreed to the Nematrian website License Agreement

Desktop view | Switch to Mobile